Databricks Lakehouse Engineer and Analyst, Mid

Booz Allen Hamilton; McLean (VA); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking a Databricks Lakehouse Engineer and Analyst, Mid, to unlock insights from complex data in federal environments in McLean, VA. You will contribute across data engineering, analytics engineering, and model integration, partnering with fraud analytics teams and stakeholders.

This role emphasizes Databricks, Delta Lake, PySpark, and ML/NLP techniques to deliver real-time risk insights while collaborating in a fast-paced, mission-driven setting.

Qualifications

• 3+ years of experience in data engineering, analytics engineering, or ML engineering.
• Experience with Databricks, Delta Lake, and PySpark.
• Experience with structured streaming and medallion architecture.
• Experience supporting fraud analytics, risk scoring, or anomaly detection.
• Experience working independently in a fast-moving, high-impact environment.
• Knowledge of Unity Catalog governance and access controls, and text mining or ML techniques.
• Knowledge of ML, AI, or Natural Language Processing (NLP).
• Ability to collaborate with fraud operations and technical stakeholders.
• Secret clearance
• Bachelor’s degree

Responsibilities

• Contribute across data engineering, platform configuration, fraud analytics enablement, and stakeholder coordination.
• Collaborate with data scientists and fraud operations to deliver analytics capabilities.
• Implement and govern data pipelines and AI-enabled risk insights.

Skills

Data engineering

Analytics engineering

ML engineering

Databricks

Delta Lake

PySpark

Structured streaming

Unity Catalog governance

ML / NLP

NLP

Education

Bachelor’s degree

Master’s degree

Tools

Databricks

Delta Lake

PySpark

MapReduce

Hadoop

Hive

EMR

Kafka

Spark

Gurobi

MySQL

Job description

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

Databricks Lakehouse Engineer and Analyst, Mid

The Opportunity:

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning (ML), and artifi cia l intelligence (AI). In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data.

Our U.S. government agency client is building a modern Databricks Lakehouse environment to support real‑time fraud detection, investigative analytics, and AI‑driven risk insights. We are seeking a hands‑on, versatile Databricks engineer who can contribute across data engineering, functional analysis, governance, and model integration in a federal environment.

This role combines responsibilities across data engineering, platform configuration, fraud analytics enablement, and stakeholder coordination.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have:

• 3+ years of experience in data engineering, analytics engineering, or ML engineering
• Experience with Databricks, Delta Lake, and PySpark
• Experience with structured streaming and medallion architecture
• Experience supporting fraud analytics, risk scoring, or anomaly detection
• Experience working independently in a fast‑moving, high‑impact environment
• Knowledge of Unity Catalog governance and access controls, and text mining or ML techniques
• Knowledge of ML, AI, or Natural Language Processing (NLP)
• Ability to collaborate with fraud operations and technical stakeholders
• Secret clearance
• Bachelor’s degree

Nice If You Have:

• 2+ years of experience in the development of algorithms leveraging R, Python, SQL, or NoSQL
• 2+ years of experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• 2+ years of experience with ML, AI, or NLP
• Experience with visualization packages, including Plotly, Seaborn, or ggplot2
• Possession of strong communication skills, for both technical and non‑technical audiences
• Possession of strong problem-solving skills
• Master’s degree

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in‑person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people‑first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.